Integrated Control and Estimation of Satellite Attitude using Adaptive Nero-Fuzzy Inference System

Please enable javascript in your browser.

Abtahi, Mehdi | 2016

417 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 48738 (45)
University: Sharif University of Technology
Department: Aerospace Engineering
Advisor(s): Assadian, Nima
Abstract:
This paper presents an integrated attitude control and estimation of satellite by using adaptive neural fuzzy (ANFIS) logic, indeed a system which using ANFIS controller and estimator is considered then an ANFIS simulator that can control and estimate contemporary is supposed. ANFIS system has been trained by using data obtained from an optimal PID controller. Then ANFIS controller performance has been compared with the performance of a PID controller, the analogy has repeated in different situations such as noise and uncertainty. Results show that system with ANFIS controller is more optimal than PID’s in all these situations. After that ANFIS estimator is studied and results indicate the high ability of this observer. Then by considering the high capacity of ANFIS in simulation, both control and estimation stages are simulated by ANFIS. In fact, synchronous control and estimation is the most important feature of this model. Eventually results of using this ANFIS model are demonstrated
Keywords:
Noise ; Uncertainty ; Satellite Control ; Attitude Estimation ; Neural Network ; Fuzzy Systems ; Adaptive Neuro-Fuzzy Inference System (ANFIS)

No TOC